基于氨基酸组成的黄酒酒龄电子舌鉴别

该研究采用电子舌结合化学计量学方法用于黄酒酒龄的快速鉴别。为确证黄酒样品酒龄，采用氨基酸分析仪分析了1年陈、3年陈和5年陈黄酒中20种氨基酸，并利用主成分分析（principal component analysis，PCA）对氨基酸数据进行了分析。采用电位型电子舌采集了不同酒龄黄酒样品的味觉指纹信息，并采用判别分析（discriminant analysis，DA）方法结合味觉指纹信息建立黄酒酒龄快速鉴别模型。采用偏最小二乘法（partial least squares regression，PLSR）建立电子舌响应信号与氨基酸含量之间的相关关系。氨基酸数据结合PCA分析表明所有样品均标注正确；电子舌结合DA所建黄酒酒龄鉴别模型可将3个年份预测集样品正确区分；异亮氨酸（Ile）、天门冬氨酸（Asp）、酪氨酸（Tyr）和缬氨酸（Val）与电子舌相关性高，模型的相对分析误差（Residual predictive deviation, RPD）高于2。研究表明电位型电子舌结合判别分析是黄酒龄鉴别的稳健方法。

Discrimination of wine age of Chinese rice wine by electronic tongue based on amino acid profiles

To ensure a good reputation for the producers and to guarantee the basic quality of wine for the consumers, an electronic tongue (E-tongue) coupled with a chemometric method was applied to rapidly discriminate the wine age of Chinese rice wine. Amino acid profiles analyzed by an amino acid analyzer together with principal component analysis (PCA) was used for validation of the wine age of the Chinese rice wine samples sourced from 1-year, 3-year, and 5-year. E-tongue responses collected by a potentiometric E-tongue together with discriminant analysis (DA) were used for the rapid discrimination of the wine age. The correlation between the E-tongue responses and the amino acid profiles was established by partial least squares regression (PLSR). The results showed that the calibration and validation samples were all correctly discriminated by the E-tongue coupled with DA. The E-tongue could be used for screening isoleucine (Ile), aspartic acid (Asp), tyrosine (Tyr), and valine (Val), with a residual predictive deviation (RPD) of greater than 2.0. The results indicated that using an E-tongue combined with DA was a reliable method for the discrimination of the wine age of Chinese rice wines.